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<a href="_abstract_svm_trainer_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       Abstract Support Vector Machine Trainer, general and linear case</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * </span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * \par</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * This file provides: 1) the QpConfig class, which can configure and</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * provide information about an SVM training procedure; 2) a super-class</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> * for general SVM trainers, namely the AbstractSvmTrainer; and 3) a</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * streamlined variant thereof for purely linear SVMs, namely the</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * AbstractLinearSvmTrainer. In general, the SvmTrainers hold as parameters</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * all hyperparameters of the underlying SVM, which includes the kernel</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * parameters for non-linear SVMs.</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * </span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * </span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * </span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> *</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * \author      T. Glasmachers</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * \date        -</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> *</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> *</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * </span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * </span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment"> * </span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="comment"> * </span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="comment"> *</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment"> */</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span> </div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span> </div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="preprocessor">#ifndef SHARK_ALGORITHMS_TRAINERS_ABSTRACTSVMTRAINER_H</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="preprocessor">#define SHARK_ALGORITHMS_TRAINERS_ABSTRACTSVMTRAINER_H</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span> </div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span> </div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="preprocessor">#include &lt;<a class="code" href="_base_8h.html">shark/LinAlg/Base.h</a>&gt;</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="preprocessor">#include &lt;<a class="code" href="_kernel_expansion_8h.html">shark/Models/Kernels/KernelExpansion.h</a>&gt;</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="preprocessor">#include &lt;<a class="code" href="_linear_model_8h.html">shark/Models/LinearModel.h</a>&gt;</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_trainer_8h.html" title="Abstract Trainer Interface.">shark/Algorithms/Trainers/AbstractTrainer.h</a>&gt;</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="preprocessor">#include &lt;<a class="code" href="_quadratic_program_8h.html">shark/Algorithms/QP/QuadraticProgram.h</a>&gt;</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span> </div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span> </div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span> </div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment"></span> </div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="comment">///</span></div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span><span class="comment">/// \brief Super class of all support vector machine trainers.</span></div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span><span class="comment">///</span></div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">/// The QpConfig class holds two structures describing</span></div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">/// the stopping condition and the solution obtained by the underlying</span></div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment">/// quadratic programming solvers. It provides a uniform interface for</span></div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment">/// setting, e.g., the target solution accuracy and obtaining the</span></div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="comment">/// accuracy of the actual solution.</span></div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span><span class="comment">///</span></div>
<div class="foldopen" id="foldopen00071" data-start="{" data-end="};">
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html">   71</a></span><span class="comment"></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_qp_config.html" title="Super class of all support vector machine trainers.">QpConfig</a></div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>{</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span><span class="keyword">public</span>:<span class="comment"></span></div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span><span class="comment">    /// Constructor</span></div>
<div class="foldopen" id="foldopen00075" data-start="{" data-end="}">
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#afca82d9f41e7ca9dc16f958571143ea4">   75</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_qp_config.html#afca82d9f41e7ca9dc16f958571143ea4" title="Constructor.">QpConfig</a>(<span class="keywordtype">bool</span> precomputedFlag = <span class="keyword">false</span>, <span class="keywordtype">bool</span> sparsifyFlag = <span class="keyword">true</span>)</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>    : <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5d65189eed8ced4b3cadb2392cf2b46c" title="should the solver use a precomputed kernel matrix?">m_precomputedKernelMatrix</a>(precomputedFlag)</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    , <a class="code hl_variable" href="classshark_1_1_qp_config.html#a3288e99aefde9b1d7e30992d5feb582e" title="should the trainer sparsify the model after training?">m_sparsify</a>(sparsifyFlag)</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    , <a class="code hl_variable" href="classshark_1_1_qp_config.html#ac7bd118550c2bfa50f9497182b4b086d" title="should shrinking be used?">m_shrinking</a>(true)</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    , <a class="code hl_variable" href="classshark_1_1_qp_config.html#a82049a531c2f9621c737c8fe51d53739" title="should S2DO be used instead of SMO?">m_s2do</a>(true)</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span>    , <a class="code hl_variable" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79" title="verbosity level (currently unused)">m_verbosity</a>(0)</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>    , <a class="code hl_variable" href="classshark_1_1_qp_config.html#a073a19a266651c9a689f433b93ea4e3f" title="kernel access count">m_accessCount</a>(0)</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>    { }</div>
</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span><span class="comment"></span> </div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span><span class="comment">    /// Read/write access to the stopping condition</span></div>
<div class="foldopen" id="foldopen00085" data-start="{" data-end="}">
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a66fa342063f4fb0c8686a821dd14370e">   85</a></span><span class="comment"></span>    <a class="code hl_struct" href="structshark_1_1_qp_stopping_condition.html" title="stopping conditions for quadratic programming">QpStoppingCondition</a>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a66fa342063f4fb0c8686a821dd14370e" title="Read/write access to the stopping condition.">stoppingCondition</a>()</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">m_stoppingcondition</a>; }</div>
</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span><span class="comment"></span> </div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span><span class="comment">    /// Read access to the stopping condition</span></div>
<div class="foldopen" id="foldopen00089" data-start="{" data-end="}">
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#aa26b91d3c5f8907fdf977e3dafedc9a7">   89</a></span><span class="comment"></span>    <a class="code hl_struct" href="structshark_1_1_qp_stopping_condition.html" title="stopping conditions for quadratic programming">QpStoppingCondition</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#aa26b91d3c5f8907fdf977e3dafedc9a7" title="Read access to the stopping condition.">stoppingCondition</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">m_stoppingcondition</a>; }</div>
</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span><span class="comment"></span> </div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span><span class="comment">    /// Access to the solution properties</span></div>
<div class="foldopen" id="foldopen00093" data-start="{" data-end="}">
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a0ea8552b2732cbfe664b7d0706c46d80">   93</a></span><span class="comment"></span>    <a class="code hl_struct" href="structshark_1_1_qp_solution_properties.html" title="properties of the solution of a quadratic program">QpSolutionProperties</a>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a0ea8552b2732cbfe664b7d0706c46d80" title="Access to the solution properties.">solutionProperties</a>()</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a994efb841504c52e509d0bac04f41fb2" title="properties of the approximate solution found by the solver">m_solutionproperties</a>; }</div>
</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span><span class="comment"></span> </div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span><span class="comment">    /// Flag for using a precomputed kernel matrix</span></div>
<div class="foldopen" id="foldopen00097" data-start="{" data-end="}">
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#ae90c5c93fc02fad6fc07ca6b04fc78cc">   97</a></span><span class="comment"></span>    <span class="keywordtype">bool</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#ae90c5c93fc02fad6fc07ca6b04fc78cc" title="Flag for using a precomputed kernel matrix.">precomputeKernel</a>()</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5d65189eed8ced4b3cadb2392cf2b46c" title="should the solver use a precomputed kernel matrix?">m_precomputedKernelMatrix</a>; }</div>
</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span><span class="comment"></span> </div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment">    /// Flag for using a precomputed kernel matrix</span></div>
<div class="foldopen" id="foldopen00101" data-start="{" data-end="}">
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a0de2262f5cfb80a3b42706a5121a53e5">  101</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a0de2262f5cfb80a3b42706a5121a53e5" title="Flag for using a precomputed kernel matrix.">precomputeKernel</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5d65189eed8ced4b3cadb2392cf2b46c" title="should the solver use a precomputed kernel matrix?">m_precomputedKernelMatrix</a>; }</div>
</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span><span class="comment"></span> </div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="comment">    /// Flag for sparsifying the model after training</span></div>
<div class="foldopen" id="foldopen00105" data-start="{" data-end="}">
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a32477b55142b80bd9f82f2a2e201f5b9">  105</a></span><span class="comment"></span>    <span class="keywordtype">bool</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a32477b55142b80bd9f82f2a2e201f5b9" title="Flag for sparsifying the model after training.">sparsify</a>()</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a3288e99aefde9b1d7e30992d5feb582e" title="should the trainer sparsify the model after training?">m_sparsify</a>; }</div>
</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span><span class="comment"></span> </div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span><span class="comment">    /// Flag for sparsifying the model after training</span></div>
<div class="foldopen" id="foldopen00109" data-start="{" data-end="}">
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a7af8db760393211a1c1416d3b1f53611">  109</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a7af8db760393211a1c1416d3b1f53611" title="Flag for sparsifying the model after training.">sparsify</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a3288e99aefde9b1d7e30992d5feb582e" title="should the trainer sparsify the model after training?">m_sparsify</a>; }</div>
</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span><span class="comment"></span> </div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span><span class="comment">    /// Flag for shrinking in the decomposition solver</span></div>
<div class="foldopen" id="foldopen00113" data-start="{" data-end="}">
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#ab538a92231c05e20575f181b06c5689d">  113</a></span><span class="comment"></span>    <span class="keywordtype">bool</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#ab538a92231c05e20575f181b06c5689d" title="Flag for shrinking in the decomposition solver.">shrinking</a>()</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#ac7bd118550c2bfa50f9497182b4b086d" title="should shrinking be used?">m_shrinking</a>; }</div>
</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment"></span> </div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment">    /// Flag for shrinking in the decomposition solver</span></div>
<div class="foldopen" id="foldopen00117" data-start="{" data-end="}">
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#ac60da7ecd51c8eceea655cc60492e4a7">  117</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#ac60da7ecd51c8eceea655cc60492e4a7" title="Flag for shrinking in the decomposition solver.">shrinking</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#ac7bd118550c2bfa50f9497182b4b086d" title="should shrinking be used?">m_shrinking</a>; }</div>
</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span><span class="comment"></span> </div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span><span class="comment">    /// Flag for S2DO (instead of SMO)</span></div>
<div class="foldopen" id="foldopen00121" data-start="{" data-end="}">
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a5a4d6d3ff5c8acbd809108786e973f7a">  121</a></span><span class="comment"></span>    <span class="keywordtype">bool</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a5a4d6d3ff5c8acbd809108786e973f7a" title="Flag for S2DO (instead of SMO)">s2do</a>()</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a82049a531c2f9621c737c8fe51d53739" title="should S2DO be used instead of SMO?">m_s2do</a>; }</div>
</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span><span class="comment"></span> </div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span><span class="comment">    /// Flag for S2DO (instead of SMO)</span></div>
<div class="foldopen" id="foldopen00125" data-start="{" data-end="}">
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a7f20cd2196e1fc785a18cb155eb5ec68">  125</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a7f20cd2196e1fc785a18cb155eb5ec68" title="Flag for S2DO (instead of SMO)">s2do</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a82049a531c2f9621c737c8fe51d53739" title="should S2DO be used instead of SMO?">m_s2do</a>; }</div>
</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span><span class="comment"></span> </div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span><span class="comment">    /// Verbosity level of the solver</span></div>
<div class="foldopen" id="foldopen00129" data-start="{" data-end="}">
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a71328214090e442c9fee46103868b0ca">  129</a></span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a71328214090e442c9fee46103868b0ca" title="Verbosity level of the solver.">verbosity</a>()</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79" title="verbosity level (currently unused)">m_verbosity</a>; }</div>
</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span><span class="comment"></span> </div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span><span class="comment">    /// Verbosity level of the solver</span></div>
<div class="foldopen" id="foldopen00133" data-start="{" data-end="}">
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a60f71b218d096838f527c6eb62a75501">  133</a></span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a60f71b218d096838f527c6eb62a75501" title="Verbosity level of the solver.">verbosity</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79" title="verbosity level (currently unused)">m_verbosity</a>; }</div>
</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span><span class="comment"></span> </div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span><span class="comment">    /// Number of kernel accesses</span></div>
<div class="foldopen" id="foldopen00137" data-start="{" data-end="}">
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a240e6aeb51dee3764a4ee3962e0ff7e0">  137</a></span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> <span class="keywordtype">long</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_qp_config.html#a240e6aeb51dee3764a4ee3962e0ff7e0" title="Number of kernel accesses.">accessCount</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a073a19a266651c9a689f433b93ea4e3f" title="kernel access count">m_accessCount</a>; }</div>
</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span> </div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    <span class="comment">// Set threshold for minimum dual accuracy stopping condition</span></div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a435ff9b5dd3337872c2e49d46c95c417">  141</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_qp_config.html#a435ff9b5dd3337872c2e49d46c95c417">setMinAccuracy</a>(<span class="keywordtype">double</span> a) { <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">m_stoppingcondition</a>.<a class="code hl_variable" href="structshark_1_1_qp_stopping_condition.html#addc2ea7f6d15eb25187586e329f33ace" title="minimum accuracy to be achieved, usually KKT violation">minAccuracy</a> = a; }</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>    <span class="comment">// Set number of iterations for maximum number of iterations stopping condition</span></div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#aa0ebe3d3e7163bb1eb7a5f3a56b95644">  143</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_qp_config.html#aa0ebe3d3e7163bb1eb7a5f3a56b95644">setMaxIterations</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> <span class="keywordtype">long</span> i) { <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">m_stoppingcondition</a>.<a class="code hl_variable" href="structshark_1_1_qp_stopping_condition.html#af747ff263a208a610fc2ca4dccec44d6" title="maximum number of decomposition iterations (default to 0 - not used)">maxIterations</a> = i; }</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    <span class="comment">// Set values for target value stopping condition</span></div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#ac13ad894e8ac68325c6f7ebb629e644c">  145</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_qp_config.html#ac13ad894e8ac68325c6f7ebb629e644c">setTargetValue</a>(<span class="keywordtype">double</span> v) { <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">m_stoppingcondition</a>.<a class="code hl_variable" href="structshark_1_1_qp_stopping_condition.html#aef0871941c7b0acd271996801b05b47b" title="target objective function value (defaults to 1e100 - not used)">targetValue</a> = v; }</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>    <span class="comment">// Set maximum training time in seconds for the maximum seconds stopping condition</span></div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a1453635db8f97cec56f4f943e31e7520">  147</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_qp_config.html#a1453635db8f97cec56f4f943e31e7520">setMaxSeconds</a>(<span class="keywordtype">double</span> s) { <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">m_stoppingcondition</a>.<a class="code hl_variable" href="structshark_1_1_qp_stopping_condition.html#a2f2037cc62c817ff88ec0801591a0240" title="maximum process time (defaults to 1e100 - not used)">maxSeconds</a> = s; }</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>    </div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span><span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span><span class="comment">    /// conditions for when to stop the QP solver</span></div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225">  151</a></span><span class="comment"></span>    <a class="code hl_struct" href="structshark_1_1_qp_stopping_condition.html" title="stopping conditions for quadratic programming">QpStoppingCondition</a> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">m_stoppingcondition</a>;<span class="comment"></span></div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="comment">    /// properties of the approximate solution found by the solver</span></div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a994efb841504c52e509d0bac04f41fb2">  153</a></span><span class="comment"></span>    <a class="code hl_struct" href="structshark_1_1_qp_solution_properties.html" title="properties of the solution of a quadratic program">QpSolutionProperties</a> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a994efb841504c52e509d0bac04f41fb2" title="properties of the approximate solution found by the solver">m_solutionproperties</a>;<span class="comment"></span></div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span><span class="comment">    /// should the solver use a precomputed kernel matrix?</span></div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a5d65189eed8ced4b3cadb2392cf2b46c">  155</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a5d65189eed8ced4b3cadb2392cf2b46c" title="should the solver use a precomputed kernel matrix?">m_precomputedKernelMatrix</a>;<span class="comment"></span></div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span><span class="comment">    /// should the trainer sparsify the model after training?</span></div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a3288e99aefde9b1d7e30992d5feb582e">  157</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a3288e99aefde9b1d7e30992d5feb582e" title="should the trainer sparsify the model after training?">m_sparsify</a>;<span class="comment"></span></div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span><span class="comment">    /// should shrinking be used?</span></div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#ac7bd118550c2bfa50f9497182b4b086d">  159</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#ac7bd118550c2bfa50f9497182b4b086d" title="should shrinking be used?">m_shrinking</a>;<span class="comment"></span></div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span><span class="comment">    /// should S2DO be used instead of SMO?</span></div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a82049a531c2f9621c737c8fe51d53739">  161</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a82049a531c2f9621c737c8fe51d53739" title="should S2DO be used instead of SMO?">m_s2do</a>;<span class="comment"></span></div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span><span class="comment">    /// verbosity level (currently unused)</span></div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79">  163</a></span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79" title="verbosity level (currently unused)">m_verbosity</a>;<span class="comment"></span></div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="comment">    /// kernel access count</span></div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"><a class="line" href="classshark_1_1_qp_config.html#a073a19a266651c9a689f433b93ea4e3f">  165</a></span><span class="comment"></span>    <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> <span class="keywordtype">long</span> <a class="code hl_variable" href="classshark_1_1_qp_config.html#a073a19a266651c9a689f433b93ea4e3f" title="kernel access count">m_accessCount</a>;</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>};</div>
</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span> </div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span><span class="comment"></span> </div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span><span class="comment">///</span></div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span><span class="comment">/// \brief Super class of all kernelized (non-linear) SVM trainers.</span></div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span><span class="comment">///</span></div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span><span class="comment">/// This class holds general information shared by most if not</span></div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span><span class="comment">/// all SVM trainers. First of all, this includes the kernel and</span></div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span><span class="comment">/// the regularization parameter. The class also manages</span></div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span><span class="comment">/// meta-information of the training process, like the maximal</span></div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span><span class="comment">/// size of the kernel cache, the stopping criterion, as well</span></div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment">/// as information on the actual solution.</span></div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span><span class="comment">/// \ingroup supervised_trainer</span></div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span><span class="comment"></span><span class="keyword">template</span> &lt;</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>    <span class="keyword">class </span><a class="code hl_typedef" href="_multi_task_svm_8cpp.html#a0dea9a3a85d327080d9b617903508925">InputType</a>, <span class="keyword">class </span>LabelType, </div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>    <span class="keyword">class </span>Model = <a class="code hl_struct" href="structshark_1_1_kernel_classifier.html" title="Linear classifier in a kernel feature space.">KernelClassifier&lt;InputType&gt;</a>, </div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>    <span class="keyword">class </span>Trainer= <a class="code hl_class" href="classshark_1_1_abstract_trainer.html" title="Superclass of supervised learning algorithms.">AbstractTrainer&lt; Model,LabelType&gt;</a></div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>&gt;</div>
<div class="foldopen" id="foldopen00185" data-start="{" data-end="};">
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html">  185</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_abstract_svm_trainer.html" title="Super class of all kernelized (non-linear) SVM trainers.">AbstractSvmTrainer</a></div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>: <span class="keyword">public</span> Trainer,<span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_qp_config.html" title="Super class of all support vector machine trainers.">QpConfig</a>, <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_i_parameterizable.html" title="Top level interface for everything that holds parameters.">IParameterizable</a>&lt;&gt;</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>{</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">  189</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a> <a class="code hl_typedef" href="classshark_1_1_abstract_svm_trainer.html#acb7bddb6bc49cb6162708ad18d5f2ea3">KernelType</a>;</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span><span class="comment"></span> </div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span><span class="comment">    //! Constructor</span></div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span><span class="comment">    //! \param  kernel         kernel function to use for training and prediction</span></div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span><span class="comment">    //! \param  C              regularization parameter - always the &#39;true&#39; value of C, even when unconstrained is set</span></div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span><span class="comment">    //! \param offset train svm with offset - this is not supported for all SVM solvers.</span></div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span><span class="comment">    //! \param  unconstrained  when a C-value is given via setParameter, should it be piped through the exp-function before using it in the solver?</span></div>
<div class="foldopen" id="foldopen00196" data-start="{" data-end="}">
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#aab27c6424184668af4f785f525ca3a84">  196</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#aab27c6424184668af4f785f525ca3a84">AbstractSvmTrainer</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>, <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483" title="Return the value of the regularization parameter C.">C</a>, <span class="keywordtype">bool</span> offset, <span class="keywordtype">bool</span> unconstrained = <span class="keyword">false</span>)</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>    : <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>(<a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>)</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>(1,<a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483" title="Return the value of the regularization parameter C.">C</a>)</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aee47ba0de2c00b34c32e78ec9751c121">m_trainOffset</a>(offset)</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>(unconstrained)</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2" title="Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for ...">m_cacheSize</a>(0x4000000)</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>    { </div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483" title="Return the value of the regularization parameter C.">C</a> &gt; 0, <span class="stringliteral">&quot;C must be larger than 0&quot;</span> );</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">&quot;Kernel must not be NULL&quot;</span> );</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>    }</div>
</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>    <span class="comment"></span></div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span><span class="comment">    //! Constructor featuring two regularization parameters</span></div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span><span class="comment">    //! \param  kernel         kernel function to use for training and prediction</span></div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span><span class="comment">    //! \param  negativeC   regularization parameter of the negative class (label 0)</span></div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span><span class="comment">    //! \param  positiveC    regularization parameter of the positive class (label 1)</span></div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span><span class="comment">    //! \param offset train svm with offset - this is not supported for all SVM solvers.</span></div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno">  212</span><span class="comment">    //! \param  unconstrained  when a C-value is given via setParameter, should it be piped through the exp-function before using it in the solver?</span></div>
<div class="foldopen" id="foldopen00213" data-start="{" data-end="}">
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a5ac083639404d8d334e38d45f777e0af">  213</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a5ac083639404d8d334e38d45f777e0af">AbstractSvmTrainer</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>, <span class="keywordtype">double</span> negativeC, <span class="keywordtype">double</span> positiveC, <span class="keywordtype">bool</span> offset, <span class="keywordtype">bool</span> unconstrained = <span class="keyword">false</span>)</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>    : <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>(<a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>)</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>(2)</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aee47ba0de2c00b34c32e78ec9751c121">m_trainOffset</a>(offset)</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>(unconstrained)</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2" title="Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for ...">m_cacheSize</a>(0x4000000)</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span>    { </div>
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno">  220</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( positiveC &gt; 0, <span class="stringliteral">&quot;C must be larger than 0&quot;</span> );</div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( negativeC &gt; 0, <span class="stringliteral">&quot;C must be larger than 0&quot;</span> );</div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">&quot;Kernel must not be NULL&quot;</span> );</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>        <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>[0] = negativeC;</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>        <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>[1] = positiveC;</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>        </div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span>    }</div>
</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span><span class="comment"></span> </div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span><span class="comment">    /// \brief Return the value of the regularization parameter C.</span></div>
<div class="foldopen" id="foldopen00229" data-start="{" data-end="}">
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483">  229</a></span><span class="comment"></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483" title="Return the value of the regularization parameter C.">C</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno">  231</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(<a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>.size() == 1);</div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>[0];</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span><span class="comment">    /// \brief Set the value of the regularization parameter C.</span></div>
<div class="foldopen" id="foldopen00235" data-start="{" data-end="}">
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a63d60b7731298e655952bbf42d1ce2d8">  235</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a63d60b7731298e655952bbf42d1ce2d8" title="Set the value of the regularization parameter C.">setC</a>(<span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483" title="Return the value of the regularization parameter C.">C</a>) {</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno">  236</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483" title="Return the value of the regularization parameter C.">C</a> &gt; 0, <span class="stringliteral">&quot;C must be larger than 0&quot;</span> );</div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>        <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>[0] = <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a7bc3baa63458c785155a231ca73ea483" title="Return the value of the regularization parameter C.">C</a>;</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>    }</div>
</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span> </div>
<div class="foldopen" id="foldopen00240" data-start="{" data-end="}">
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#ad06550eb45e46ff02e4789ea1b916c75">  240</a></span>    RealVector <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#ad06550eb45e46ff02e4789ea1b916c75">regularizationParameters</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>;</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>    }</div>
</div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>    <span class="comment"></span></div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span><span class="comment">    /// \brief Set the value of the regularization parameter C.</span></div>
<div class="foldopen" id="foldopen00246" data-start="{" data-end="}">
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#ad3ff1a54a5eb915e631e70e26e8727ce">  246</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#ad3ff1a54a5eb915e631e70e26e8727ce" title="Set the value of the regularization parameter C.">setRegularizationParameters</a>(RealVector <span class="keyword">const</span>&amp; regularizers) {</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( min(regularizers) &gt; 0, <span class="stringliteral">&quot;regularization parameters must be larger than 0&quot;</span> );</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>        <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a> = regularizers;</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>    }</div>
</div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>    </div>
<div class="foldopen" id="foldopen00251" data-start="{" data-end="}">
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">  251</a></span>    <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>()</div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>    { <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>; }</div>
</div>
<div class="foldopen" id="foldopen00253" data-start="{" data-end="}">
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a6342c2fd51de7927c41090c8644c29f8">  253</a></span>    <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a> <span class="keyword">const</span>* <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a6342c2fd51de7927c41090c8644c29f8">kernel</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>; }</div>
</div>
<div class="foldopen" id="foldopen00255" data-start="{" data-end="}">
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a4ff39ade04048830ec052be74d185a39">  255</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a4ff39ade04048830ec052be74d185a39">setKernel</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>){ </div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">&quot;Kernel must not be NULL&quot;</span> );</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>        <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a> = <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a084595212c691b938fe6d421f40a908b">kernel</a>; </div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>    }</div>
</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span> </div>
<div class="foldopen" id="foldopen00260" data-start="{" data-end="}">
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a787df0ebf0c01da4f3e900e0f3ad109a">  260</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a787df0ebf0c01da4f3e900e0f3ad109a">isUnconstrained</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno">  261</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>; }</div>
</div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>    </div>
<div class="foldopen" id="foldopen00263" data-start="{" data-end="}">
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#ae0c02e31cdae3482f37155eb788eb979">  263</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#ae0c02e31cdae3482f37155eb788eb979">trainOffset</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aee47ba0de2c00b34c32e78ec9751c121">m_trainOffset</a>; }</div>
</div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span> </div>
<div class="foldopen" id="foldopen00266" data-start="{" data-end="}">
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a954cc587b52b4ec5a347134804dfc812">  266</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a954cc587b52b4ec5a347134804dfc812">cacheSize</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2" title="Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for ...">m_cacheSize</a>; }</div>
</div>
<div class="foldopen" id="foldopen00268" data-start="{" data-end="}">
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#aee037566828dae85ee2e117e71121edd">  268</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#aee037566828dae85ee2e117e71121edd">setCacheSize</a>( std::size_t size )</div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span>    { <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2" title="Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for ...">m_cacheSize</a> = size; }</div>
</div>
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno">  270</span><span class="comment"></span> </div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span><span class="comment">    /// get the hyper-parameter vector</span></div>
<div class="foldopen" id="foldopen00272" data-start="{" data-end="}">
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a183757faebfc331f6733946a6ea7de2c">  272</a></span><span class="comment"></span>    RealVector <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#a183757faebfc331f6733946a6ea7de2c" title="get the hyper-parameter vector">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>        <span class="keywordflow">if</span>(<a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>)</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>            <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db" title="Return the parameter vector.">parameterVector</a>() | log(<a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>);</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span>        <span class="keywordflow">else</span></div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>            <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#afaa2ba692ab64a0edbff60d7ee6794db" title="Return the parameter vector.">parameterVector</a>() | <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>;</div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>    }</div>
</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span><span class="comment"></span> </div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span><span class="comment">    /// set the vector of hyper-parameters</span></div>
<div class="foldopen" id="foldopen00280" data-start="{" data-end="}">
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#aecde2bab6daf3fa44b94438c7ba79a24">  280</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#aecde2bab6daf3fa44b94438c7ba79a24" title="set the vector of hyper-parameters">setParameterVector</a>(RealVector <span class="keyword">const</span>&amp; newParameters){</div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span>        <span class="keywordtype">size_t</span> kp = <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20" title="Return the number of parameters.">numberOfParameters</a>();</div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(newParameters.size() == kp + <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>.size());</div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span>        <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#ad5e35d1a10ff36fa72ea787baa40e9ad" title="Set the parameter vector.">setParameterVector</a>(subrange(newParameters,0,kp));</div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>        noalias(<a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>) = subrange(newParameters,kp,newParameters.size()); </div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>        <span class="keywordflow">if</span>(<a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>)</div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>            <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a> = exp(<a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>);</div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>    }</div>
</div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span><span class="comment"></span> </div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span><span class="comment">    /// return the number of hyper-parameters</span></div>
<div class="foldopen" id="foldopen00290" data-start="{" data-end="}">
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#ab4f0632a6c463dca0103a38a6305c38c">  290</a></span><span class="comment"></span>    <span class="keywordtype">size_t</span> <a class="code hl_function" href="classshark_1_1_abstract_svm_trainer.html#ab4f0632a6c463dca0103a38a6305c38c" title="return the number of hyper-parameters">numberOfParameters</a>()<span class="keyword"> const</span>{ </div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>-&gt;<a class="code hl_function" href="classshark_1_1_i_parameterizable.html#aed1e8d1d4dbde387e2f6a25141ed3a20" title="Return the number of parameters.">numberOfParameters</a>() + <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>.size();</div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span>    }</div>
</div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span> </div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">  295</a></span>    <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aec319e3ac1af74e75d5414624412dac3">m_kernel</a>;               <span class="comment">///&lt; Kernel object.</span><span class="comment"></span></div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span><span class="comment">    ///\brief Vector of regularization parameters. </span></div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno">  298</span><span class="comment">    /// If the size of the vector is 1 there is only one regularization parameter for all classes, else there must</span></div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span><span class="comment">    /// be one for every class in the dataset.</span></div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span><span class="comment">    /// The exact meaning depends on the sub-class, but the value is always positive, </span></div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno">  301</span><span class="comment">    /// and higher implies a less regular solution.</span></div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f">  302</a></span><span class="comment"></span>    RealVector <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa5c86718ae82edb7660fe5769ebc5b0f" title="Vector of regularization parameters.">m_regularizers</a>;</div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#aee47ba0de2c00b34c32e78ec9751c121">  303</a></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aee47ba0de2c00b34c32e78ec9751c121">m_trainOffset</a>;</div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878">  304</a></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#aa3e2f2db97947d244213f63093a08878" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>;               <span class="comment">///&lt; Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C &gt; 0 on the level of the parameter interface.</span></div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2">  305</a></span>    std::size_t <a class="code hl_variable" href="classshark_1_1_abstract_svm_trainer.html#a0382adafdbe762f4456dc7858ea120c2" title="Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for ...">m_cacheSize</a>;            <span class="comment">///&lt; Number of values in the kernel cache. The size of the cache in bytes is the size of one entry (4 for float, 8 for double) times this number.</span></div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span>};</div>
</div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span> </div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span><span class="comment"></span> </div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span><span class="comment">///</span></div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span><span class="comment">/// \brief Super class of all linear SVM trainers.</span></div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span><span class="comment">///</span></div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span><span class="comment">/// This class is analogous to the AbstractSvmTrainer class,</span></div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span><span class="comment">/// but for training of linear SVMs. It represents the</span></div>
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno">  315</span><span class="comment">/// regularization parameter of the SVM. The class also manages</span></div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno">  316</span><span class="comment">/// meta-information of the training process, like the stopping</span></div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno">  317</span><span class="comment">/// criterion and information on the actual solution.</span></div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span><span class="comment">/// \ingroup supervised_trainer</span></div>
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno">  319</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00320" data-start="{" data-end="};">
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html">  320</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_abstract_linear_svm_trainer.html" title="Super class of all linear SVM trainers.">AbstractLinearSvmTrainer</a></div>
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno">  321</span>: <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_trainer.html" title="Superclass of supervised learning algorithms.">AbstractTrainer</a>&lt;LinearClassifier&lt;InputType&gt;, unsigned int&gt;</div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>, <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_qp_config.html" title="Super class of all support vector machine trainers.">QpConfig</a></div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>, <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_i_parameterizable.html" title="Top level interface for everything that holds parameters.">IParameterizable</a>&lt;&gt;</div>
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno">  324</span>{</div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_trainer.html" title="Superclass of supervised learning algorithms.">AbstractTrainer&lt;LinearClassifier&lt;InputType&gt;</a>, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt; <a class="code hl_class" href="classshark_1_1_abstract_trainer.html">base_type</a>;</div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#afd9542675b41765f725846a0d9814c5e">  327</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_linear_classifier.html" title="Basic linear classifier.">LinearClassifier&lt;InputType&gt;</a> <a class="code hl_typedef" href="classshark_1_1_abstract_linear_svm_trainer.html#afd9542675b41765f725846a0d9814c5e">ModelType</a>;</div>
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno">  328</span><span class="comment"></span> </div>
<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span><span class="comment">    //! Constructor</span></div>
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span><span class="comment">    //! \param C              regularization parameter - always the &#39;true&#39; value of C, even when unconstrained is set</span></div>
<div class="line"><a id="l00331" name="l00331"></a><span class="lineno">  331</span><span class="comment">    //! \param offset         train svm with offset - this is not supported for all SVM solvers.</span></div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span><span class="comment">    //! \param unconstrained  when a C-value is given via setParameter, should it be piped through the exp-function before using it in the solver?</span></div>
<div class="foldopen" id="foldopen00333" data-start="{" data-end="}">
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#aef1e11708ae6adc64c75243cbc5acb89">  333</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#aef1e11708ae6adc64c75243cbc5acb89">AbstractLinearSvmTrainer</a>(<span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07" title="Return the value of the regularization parameter C.">C</a>, <span class="keywordtype">bool</span> offset, <span class="keywordtype">bool</span> unconstrained)</div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span>    : <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a" title="Regularization parameter. The exact meaning depends on the sub-class, but the value is always positiv...">m_C</a>(<a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07" title="Return the value of the regularization parameter C.">C</a>)</div>
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno">  335</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#aef391c43b6111422e95ae58797ce36c8" title="Is the SVM trained with or without bias?">m_trainOffset</a>(offset)</div>
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno">  336</span>    , <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a431b4445a96cafef50a412a33b906a55" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>(unconstrained)</div>
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno">  337</span>    { <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07" title="Return the value of the regularization parameter C.">C</a> &gt; 0, <span class="stringliteral">&quot;C must be larger than 0&quot;</span> );}</div>
</div>
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno">  338</span><span class="comment"></span> </div>
<div class="line"><a id="l00339" name="l00339"></a><span class="lineno">  339</span><span class="comment">    /// \brief Return the value of the regularization parameter C.</span></div>
<div class="foldopen" id="foldopen00340" data-start="{" data-end="}">
<div class="line"><a id="l00340" name="l00340"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07">  340</a></span><span class="comment"></span>    <span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07" title="Return the value of the regularization parameter C.">C</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00341" name="l00341"></a><span class="lineno">  341</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a" title="Regularization parameter. The exact meaning depends on the sub-class, but the value is always positiv...">m_C</a>; }</div>
</div>
<div class="line"><a id="l00342" name="l00342"></a><span class="lineno">  342</span><span class="comment"></span> </div>
<div class="line"><a id="l00343" name="l00343"></a><span class="lineno">  343</span><span class="comment">    /// \brief Set the value of the regularization parameter C.</span></div>
<div class="foldopen" id="foldopen00344" data-start="{" data-end="}">
<div class="line"><a id="l00344" name="l00344"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#a61480c0f4f75a280ed65c5bce0d285da">  344</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#a61480c0f4f75a280ed65c5bce0d285da" title="Set the value of the regularization parameter C.">setC</a>(<span class="keywordtype">double</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07" title="Return the value of the regularization parameter C.">C</a>) {</div>
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno">  345</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>( <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07" title="Return the value of the regularization parameter C.">C</a> &gt; 0, <span class="stringliteral">&quot;C must be larger than 0&quot;</span> );</div>
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno">  346</span>        <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a" title="Regularization parameter. The exact meaning depends on the sub-class, but the value is always positiv...">m_C</a> = <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#ac310ca5530798f1190130d8495dd2f07" title="Return the value of the regularization parameter C.">C</a>;</div>
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno">  347</span>    }</div>
</div>
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno">  348</span><span class="comment"></span> </div>
<div class="line"><a id="l00349" name="l00349"></a><span class="lineno">  349</span><span class="comment">    /// \brief Is the regularization parameter provided in logarithmic (unconstrained) form as a parameter?</span></div>
<div class="foldopen" id="foldopen00350" data-start="{" data-end="}">
<div class="line"><a id="l00350" name="l00350"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#a8206943892e647fa0cb763f68bf603ae">  350</a></span><span class="comment"></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#a8206943892e647fa0cb763f68bf603ae" title="Is the regularization parameter provided in logarithmic (unconstrained) form as a parameter?">isUnconstrained</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00351" name="l00351"></a><span class="lineno">  351</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a431b4445a96cafef50a412a33b906a55" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>; }</div>
</div>
<div class="line"><a id="l00352" name="l00352"></a><span class="lineno">  352</span>    </div>
<div class="foldopen" id="foldopen00353" data-start="{" data-end="}">
<div class="line"><a id="l00353" name="l00353"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#a5d00f5cfe51a496a1511219d12a4c054">  353</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#a5d00f5cfe51a496a1511219d12a4c054">trainOffset</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00354" name="l00354"></a><span class="lineno">  354</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#aef391c43b6111422e95ae58797ce36c8" title="Is the SVM trained with or without bias?">m_trainOffset</a>; }</div>
</div>
<div class="line"><a id="l00355" name="l00355"></a><span class="lineno">  355</span><span class="comment"></span> </div>
<div class="line"><a id="l00356" name="l00356"></a><span class="lineno">  356</span><span class="comment">    /// \brief Get the hyper-parameter vector.</span></div>
<div class="foldopen" id="foldopen00357" data-start="{" data-end="}">
<div class="line"><a id="l00357" name="l00357"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#a78155370989cbdd02f04050693eccac5">  357</a></span><span class="comment"></span>    RealVector <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#a78155370989cbdd02f04050693eccac5" title="Get the hyper-parameter vector.">parameterVector</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00358" name="l00358"></a><span class="lineno">  358</span><span class="keyword">    </span>{</div>
<div class="line"><a id="l00359" name="l00359"></a><span class="lineno">  359</span>        RealVector ret(1);</div>
<div class="line"><a id="l00360" name="l00360"></a><span class="lineno">  360</span>        ret(0) = (<a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a431b4445a96cafef50a412a33b906a55" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a> ? std::log(<a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a" title="Regularization parameter. The exact meaning depends on the sub-class, but the value is always positiv...">m_C</a>) : <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a" title="Regularization parameter. The exact meaning depends on the sub-class, but the value is always positiv...">m_C</a>);</div>
<div class="line"><a id="l00361" name="l00361"></a><span class="lineno">  361</span>        <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00362" name="l00362"></a><span class="lineno">  362</span>    }</div>
</div>
<div class="line"><a id="l00363" name="l00363"></a><span class="lineno">  363</span><span class="comment"></span> </div>
<div class="line"><a id="l00364" name="l00364"></a><span class="lineno">  364</span><span class="comment">    /// \brief Set the vector of hyper-parameters.</span></div>
<div class="foldopen" id="foldopen00365" data-start="{" data-end="}">
<div class="line"><a id="l00365" name="l00365"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#af04cf4a3c0d918bc9f2925d4e7839859">  365</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#af04cf4a3c0d918bc9f2925d4e7839859" title="Set the vector of hyper-parameters.">setParameterVector</a>(RealVector <span class="keyword">const</span>&amp; newParameters)</div>
<div class="line"><a id="l00366" name="l00366"></a><span class="lineno">  366</span>    {</div>
<div class="line"><a id="l00367" name="l00367"></a><span class="lineno">  367</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(newParameters.size() == 1);</div>
<div class="line"><a id="l00368" name="l00368"></a><span class="lineno">  368</span>        <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#a61480c0f4f75a280ed65c5bce0d285da" title="Set the value of the regularization parameter C.">setC</a>(<a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a431b4445a96cafef50a412a33b906a55" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a> ? std::exp(newParameters(0)) : newParameters(0));</div>
<div class="line"><a id="l00369" name="l00369"></a><span class="lineno">  369</span>    }</div>
</div>
<div class="line"><a id="l00370" name="l00370"></a><span class="lineno">  370</span><span class="comment"></span> </div>
<div class="line"><a id="l00371" name="l00371"></a><span class="lineno">  371</span><span class="comment">    /// \brief Return the number of hyper-parameters.</span></div>
<div class="foldopen" id="foldopen00372" data-start="{" data-end="}">
<div class="line"><a id="l00372" name="l00372"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#a5ed007917fc44b741ed25b472f3438dd">  372</a></span><span class="comment"></span>    <span class="keywordtype">size_t</span> <a class="code hl_function" href="classshark_1_1_abstract_linear_svm_trainer.html#a5ed007917fc44b741ed25b472f3438dd" title="Return the number of hyper-parameters.">numberOfParameters</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00373" name="l00373"></a><span class="lineno">  373</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> 1; }</div>
</div>
<div class="line"><a id="l00374" name="l00374"></a><span class="lineno">  374</span> </div>
<div class="line"><a id="l00375" name="l00375"></a><span class="lineno">  375</span>    <span class="keyword">using </span><a class="code hl_variable" href="classshark_1_1_qp_config.html#a5032921be220d76232e7db3db3ef5225" title="conditions for when to stop the QP solver">QpConfig::m_stoppingcondition</a>;</div>
<div class="line"><a id="l00376" name="l00376"></a><span class="lineno">  376</span>    <span class="keyword">using </span><a class="code hl_variable" href="classshark_1_1_qp_config.html#a994efb841504c52e509d0bac04f41fb2" title="properties of the approximate solution found by the solver">QpConfig::m_solutionproperties</a>;</div>
<div class="line"><a id="l00377" name="l00377"></a><span class="lineno">  377</span>    <span class="keyword">using </span><a class="code hl_variable" href="classshark_1_1_qp_config.html#ad6f54a3b58cd6a2e1774d5decf8fcc79" title="verbosity level (currently unused)">QpConfig::m_verbosity</a>;</div>
<div class="line"><a id="l00378" name="l00378"></a><span class="lineno">  378</span> </div>
<div class="line"><a id="l00379" name="l00379"></a><span class="lineno">  379</span><span class="keyword">protected</span>:</div>
<div class="line"><a id="l00380" name="l00380"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a">  380</a></span>    <span class="keywordtype">double</span> <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a8c550ac91378f3c0239969414f2fd28a" title="Regularization parameter. The exact meaning depends on the sub-class, but the value is always positiv...">m_C</a>;                         <span class="comment">///&lt; Regularization parameter. The exact meaning depends on the sub-class, but the value is always positive, and higher implies a less regular solution.</span></div>
<div class="line"><a id="l00381" name="l00381"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#aef391c43b6111422e95ae58797ce36c8">  381</a></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#aef391c43b6111422e95ae58797ce36c8" title="Is the SVM trained with or without bias?">m_trainOffset</a>;         <span class="comment">///&lt; Is the SVM trained with or without bias?</span></div>
<div class="line"><a id="l00382" name="l00382"></a><span class="lineno"><a class="line" href="classshark_1_1_abstract_linear_svm_trainer.html#a431b4445a96cafef50a412a33b906a55">  382</a></span>    <span class="keywordtype">bool</span> <a class="code hl_variable" href="classshark_1_1_abstract_linear_svm_trainer.html#a431b4445a96cafef50a412a33b906a55" title="Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C ...">m_unconstrained</a>;               <span class="comment">///&lt; Is log(C) stored internally as a parameter instead of C? If yes, then we get rid of the constraint C &gt; 0 on the level of the parameter interface.</span></div>
<div class="line"><a id="l00383" name="l00383"></a><span class="lineno">  383</span>    </div>
<div class="line"><a id="l00384" name="l00384"></a><span class="lineno">  384</span>};</div>
</div>
<div class="line"><a id="l00385" name="l00385"></a><span class="lineno">  385</span> </div>
<div class="line"><a id="l00386" name="l00386"></a><span class="lineno">  386</span> </div>
<div class="line"><a id="l00387" name="l00387"></a><span class="lineno">  387</span>}</div>
<div class="line"><a id="l00388" name="l00388"></a><span class="lineno">  388</span><span class="preprocessor">#endif</span></div>
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